Results 31 to 40 of about 542,358 (217)
Stochastic Apportionment [PDF]
The American Mathematical Monthly, 2004 The problem of how to allocate to states the seats in the US House of Representatives is the most studied instance of what is termed the `apportionment problem'. We propose a new method of apportionment which is stochastic, which meets the quota condition, and which is fair in the sense of expectations.
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IEEE Access, 2022 Accurate drug-target interactions (DTIs) prediction can significantly speed up the process of new drug design and development. Recently, many matrix factorization methods have been used to predict DTIs.
Junjun Zhang, Minzhu Xie
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Physica A: Statistical Mechanics and its Applications, 2020 The concept of impedance, which characterises the current response to a periodical driving, is introduced in the context of stochastic transport. In particular, we calculate the impedance for an exactly solvable model, namely the stochastic transport of particles through a single-level quantum dot.
CLEUREN, Bart, PROESMANS, Karel
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Food and Energy Security, 2022 China's food industry is a large energy consumer and carbon emitter due to its huge scale, so it cannot be ignored if China wants to achieve the goals of energy conservation, emission reduction, and clean production.
Xuan Xie, Ke Li
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An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning Algorithms
Frontiers in Artificial Intelligence, 2021 In hydrogeology, inverse techniques have become indispensable to characterize subsurface parameters and their uncertainty. When modeling heterogeneous, geologically realistic discrete model spaces, such as categorical fields, Monte Carlo methods are ...
Przemysław Juda +2 more
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Physical Review D, 2005 The behavior of the quintessence field is studied during inflation. In order to have a satisfactory model of dark energy, the quintessence field value today should be as insensible to the initial conditions as possible. Usually, only the dependence on the initial conditions specified at the end of inflation or, equivalently, at the beginning of the ...
Martin, Jérôme, Musso, Marcello
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Information Loss Due to the Data Reduction of Sample Data from Discrete Distributions
Data, 2020 In this paper, we study the information lost when a real-valued statistic is used to reduce or summarize sample data from a discrete random variable with a one-dimensional parameter. We compare the probability that a random sample gives a particular data
Maryam Moghimi, Herbert W. Corley
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, 2021 We describe, in an intrinsic way and using the global chart provided by Ito's parallel transport, a generalisation of the notion of geodesic (as critical path of an energy functional) to diffusion processes on Riemannian manifolds. These stochastic processes are no longer smooth paths but they are still critical points of a regularised stochastic ...
Cruzeiro, Ana Bela +1 more
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BMC Bioinformatics, 2023 Background Identifying drug–target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are costly and time consuming. Effective computational methods to predict DTIs are useful to speed up the process of
Junjun Zhang, Minzhu Xie
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Applied Sciences, 2023 The study aims to implement a high-resolution Extended Elastic Impedance (EEI) inversion to estimate the petrophysical properties (e.g., porosity, saturation and volume of shale) from seismic and well log data. The inversion resolves the pitfall of basic
Eko Widi Purnomo +2 more
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